Generative AI algorithms have found applications in visual art, stylizing images and videos. Combined with Contrastive Language–Image Pre-training (or CLIP) by OpenAI [1]}, that learns visual concepts from natural language supervision, it has become possible to leverage a combination of generative approaches and CLIP to create images from language prompts. Repeated generation until the image sufficiently represents the prompt as scored by CLIP eventually creates a visual that is semantically relevant to the prompt. This approach of combining CLIP with GANs such as StyleGAN, BigGAN, VQGAN, etc. to create visuals from textual prompts has led to a recent trend in creative technologists and artists sharing surreal AI-generated art from language prompts [2]}, [3]}.
